Strategies to mitigate R:

• Input Validation: Validate and sanitize all user inputs to prevent injection attacks.

• Secure Dependencies: Use trusted repositories like CRAN and regularly update packages.

• Limit Command Execution: Avoid using eval(), system(), or shell() with untrusted inputs.

• Encrypt Sensitive Data: Use encryption for sensitive data in transit and at rest.

• Secure Shiny Deployments: Enforce authentication, use HTTPS, and restrict server access.

• Control File Permissions: Ensure logs and output files have restricted access permissions.

• Monitor for Suspicious Activity: Implement logging and monitoring to detect unusual behavior.

• Educate Users: Warn against opening unverified R scripts or R Markdown files.

• Regular Security Audits: Test for vulnerabilities in R scripts and dependencies.

• Set Resource Limits: Restrict file upload sizes and execution times in applications.